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hi
I am looking for tensorflow implementation of the Relational Graph Convolutional Network (RGCN), is this RGCN code for paper ?
thanks so much.
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### Author Pages
https://aclanthology.org/people/l/li-zhang/
### Type of Author Metadata Correction
- [X] The author page wrongly conflates different people with the same name.
- [ ] This author ha…
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1. Non Euclidean Space data 중, Graph Handling 에 대한 전반적인 소개
2. 리뷰할 논문
- [Geometric Deep Learning: Going Beyond Euclidean Data](https://arxiv.org/pdf/1611.08097.pdf)
- [Revisiting Semi-Supervised L…
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## Meta
- Link: https://medium.com/pinterest-engineering/pinsage-a-new-graph-convolutional-neural-network-for-web-scale-recommender-systems-88795a107f48
- Author:
- Date:
## どんなもの?(3行ぐらいで)
…
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## 🚀 Feature
Multi-dimensional Graph Convolutional Networks
Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty
## Motivation
In many of the re…
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Hello,
As we talked before about adding Spatio-Temporal GNN models to PyG. I suggest papers that I mentioned below for start. Please take a look at them.
1-[Structured Sequence Modeling with Gr…
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Hi tancheng,
I am particularly interested in the application of Graph convolutional networks(GCNs) described in your paper. It may be a bit presumptuous, but I would like to have the source code o…
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Is this paper which titled "Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification"? Thank you very much.
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### Title
Hypergraph Convolutional Recurrent Neural Network
### URL
(https://tmpfiles.org/dl/3316673/yirnn.pdf)
### Summary
The paper by Jaehyuk Yi and Jinkyoo Park introduces a hypergraph co…
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https://arxiv.org/abs/1606.09375